Multi-agent system enhanced supervision of process automation

Teppo Pirttioja; Antti Pakonen; Ilkka Seilonen; Aarne Halme; Kari Koskinen

doi:10.1109/DIS.2006.53

Multi-agent system enhanced supervision of process automation

Teppo Pirttioja, Antti Pakonen, Ilkka Seilonen, Aarne Halme, Kari Koskinen

Helsinki University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario.

Original language	English
Title of host publication	2006 IEEE Workshop on Distributed Intelligent Systems
Subtitle of host publication	Collective Intelligence and Its Applications (DIS'06)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	151-156
ISBN (Print)	0-7695-2589-X
DOIs	https://doi.org/10.1109/DIS.2006.53
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	2006 IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) - Prague, Czech Republic Duration: 15 Jun 2006 → 16 Jun 2006

Workshop

Workshop	2006 IEEE Workshop on Distributed Intelligent Systems
Country/Territory	Czech Republic
City	Prague
Period	15/06/06 → 16/06/06

Access to Document

10.1109/DIS.2006.53

https://publications.vtt.fi/julkaisut/muut/2006/DIS2006_Pirttioja_et_al.pdf

Cite this

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title = "Multi-agent system enhanced supervision of process automation",

abstract = "This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario.",

author = "Teppo Pirttioja and Antti Pakonen and Ilkka Seilonen and Aarne Halme and Kari Koskinen",

note = "Project code: 4589; 2006 IEEE Workshop on Distributed Intelligent Systems : Collective Intelligence and Its Applications (DIS'06) ; Conference date: 15-06-2006 Through 16-06-2006",

year = "2006",

doi = "10.1109/DIS.2006.53",

language = "English",

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pages = "151--156",

booktitle = "2006 IEEE Workshop on Distributed Intelligent Systems",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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}

Pirttioja, T, Pakonen, A, Seilonen, I, Halme, A & Koskinen, K 2006, Multi-agent system enhanced supervision of process automation. in 2006 IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06). IEEE Institute of Electrical and Electronic Engineers, pp. 151-156, 2006 IEEE Workshop on Distributed Intelligent Systems, Prague, Czech Republic, 15/06/06. https://doi.org/10.1109/DIS.2006.53

Multi-agent system enhanced supervision of process automation. / Pirttioja, Teppo; Pakonen, Antti; Seilonen, Ilkka et al.
2006 IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06). IEEE Institute of Electrical and Electronic Engineers, 2006. p. 151-156.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Multi-agent system enhanced supervision of process automation

AU - Pirttioja, Teppo

AU - Pakonen, Antti

AU - Seilonen, Ilkka

AU - Halme, Aarne

AU - Koskinen, Kari

N1 - Project code: 4589

PY - 2006

Y1 - 2006

N2 - This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario.

AB - This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario.

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DO - 10.1109/DIS.2006.53

M3 - Conference article in proceedings

SN - 0-7695-2589-X

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BT - 2006 IEEE Workshop on Distributed Intelligent Systems

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2006 IEEE Workshop on Distributed Intelligent Systems

Y2 - 15 June 2006 through 16 June 2006

ER -

Multi-agent system enhanced supervision of process automation

Abstract

Workshop

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